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English(EN) CRFCAN: A Complex-Valued Cross-Domain Residual Network for Joint Channel and Phase Noise Estimation in Sub-THz OFDM Systems

新型CRFCAN网络解决子太赫兹通信噪声问题

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了CRFCAN，这是一种新颖的复值残差FFT卷积注意力网络，用于子太赫兹（sub-THz）通信中的联合信道和相位噪声估计。该端到端网络集成了快速傅里叶变换（FFT）模块，以处理时域和频域的特征，有效捕捉衰落和相位失真。在归一化均方误差和误比特率方面，CRFCAN的性能优于传统方法和现有的深度学习模型，为子太赫兹接收机提供了鲁棒且实用的估计。 AI

排序理由 该集群包含一篇详细介绍通信信号处理新技术的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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新型CRFCAN网络解决子太赫兹通信噪声问题

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该集群包含一篇详细介绍通信信号处理新技术的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Ruilin Wang, Xiaodai Dong ·

    CRFCAN：一种用于Sub-THz OFDM系统中联合信道和相位噪声估计的复值跨域残差网络

    arXiv:2609.12244v1 Announce Type: new Abstract: In sub-terahertz (sub-THz) communications, the coupling of ultra-wide bandwidth and severe phase noise (PN) impairments renders conventional joint channel and PN estimation highly complex and computationally prohibitive. To address …

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